Data Analyst

MANTECH

13h•$117,000 - $195,100•Remote

About The Position

MANTECH International Corporation is seeking a motivated, career and customer-oriented Data Analyst to join their Data and AI Practice. This is a remote position with a preference for candidates located in the National Capital Region. The Data Analyst will support a key Federal customer with robust and repeatable data manipulation, large scale infrastructure for data ingestion, and interactive data visualization for custom client applications.

Requirements

Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline.
At least two (2) years of experience applied data science research or big data analytics.
Bachelor’s Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related scientific or technical discipline.
Experience with data mining methods, databases, data visualization and machine learning.
Ability to travel for initial onboarding and laptop pickup (estimated 1 day).

Nice To Haves

Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series (e.g., ARIMA), and NLP concepts (including preprocessing, TF-IDF, Named Entity Recognition, and LLMs)
Expertise with Qlik and/or other BI tools such as Tableau and PowerBI.
Familiarity with Databricks or similar cloud-based distributed database technologies
Strong SQL skills and demonstrated experience with cleaning, management, optimizing performance and processing large volumes of data.
Excellent communication skills both verbal and written.

Responsibilities

Responsible for data mining, data preparation, and reporting.
Prepares and conducts analyses and studies, needs/gaps assessments.
Applies knowledge to determine the accuracy and reasonableness of the data, recommendations, and solutions proposed.
Documents and summarizes the results and develops and recommended solutions to the customer’s problems.
Prepares big data, implements data models developed by others, and provides database support for customer solutions.
Serves as a key member of a data science project team, supporting data scientists or other consultants in the performance of assigned tasks.